Hao Feng

2.2k citations
79 papers · 1.5k indexed · h-index 23
  • Oncology top 5%
    • Chemokine receptors and signaling 7
    • Cytokine Signaling Pathways and Interactions 6
    • Cancer Cells and Metastasis 6
    • Colorectal Cancer Surgical Treatments 5
    • Cancer Immunotherapy and Biomarkers 5
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis 6
  • Immunology top 10%
    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 5

Hao Feng

68 papers receiving 1.4k citations

Peers

Hao Feng
Comparison fields: 5 of 118
  • Cancer Research 298
  • Oncology 506
  • Hepatology 141
  • Immunology 231
  • Molecular Biology 606
Replace Wanli Liu with:
Wanli Liu China
Shinya Sugimoto Japan
Christina Hackl Germany
Michael Byrne United States
Jian Lei China
Andrea Kristina Horst Germany
Kwok‐Wah Chan Hong Kong
Hisashi Shinohara Japan
Hao Feng relative to Wanli Liu China Wanli Liu's profile →
Citations per field
00.5×1.5×2.1×
Wanli Liu · 1×
Citations per year

Countries citing papers authored by Hao Feng

Since Specialization
Citations

This map shows the geographic impact of Hao Feng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hao Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Feng more than expected).

Fields of papers citing papers by Hao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Feng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hao Feng. The network helps show where Hao Feng may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hao Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hao Feng Line = papers co-authored together Hao Feng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20243
4 20240
5 20231
6 202233
7 20227
8 20221
9 202160
10 201726
11 2017195
12
Biomarkers and long-term prognosis of colorectal schistosomiasis-associated rectosigmoid cancer: a retrospective study
20161
13 201616
14 201610
15 201630
16 201664
17 201529
18 20142
19 201112
20 200924

About Hao Feng

Hao Feng is a scholar working on Hepatology, Oncology and Immunology, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Chemokine receptors and signaling (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Cancer Cells and Metastasis (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Colorectal Cancer Surgical Treatments (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cancer Research (298 citations), Oncology (506 citations) and Hepatology (141 citations). Hao Feng has collaborated with scholars based in China, Germany and Greece. Frequent co-authors include Aiguo Lu, Jingkun Zhao, Yaping Zong, Baochi Ou, Congcong Zhu, Puxiongzhi Wang, Dingpei Han, Minhua Zheng, Jing Ping Sun and Di Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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